Multitiered Systems of Support, Adaptive Interventions, and  SMART Designs

Roberts, Greg; Clemens, Nathan H.; Doabler, Christian T.; Vaughn, Sharon; Almirall, Daniel; Nahum‐Shani, Inbal

doi:10.1177/00144029211024141

Cited by 4 publications

(2 citation statements)

References 69 publications

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“…Adaptive interventions describe treatments that use an implementation protocol with explicit guidelines on when, for whom, how, and in what sequence a given treatment can be implemented most effectively. Adaptive interventions detail whether, how, when, and which measures to use in the process of tailoring an educational intervention based on information about an individual learner or subgroups of learners at specific time points (see also Roberts et al, 2021). Similarly, adaptive approaches to classroom L2 instruction are not new; what is new is much of the conceptual and methodological apparatus around systematically constructing and studying interventions in this way.…”

Section: A Protocol For Intervening Differentlymentioning

confidence: 99%

Complex adaptive interventions: The challenge ahead for instructed second language acquisition research

Hiver,

Nagle

2024

Ann Rev Appl Linguist

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The effects of deliberately and selectively manipulating instructional conditions are at the heart of instructed second language acquisition (ISLA) research and, ideally, are designed to inform practice. Knowing how an intervention works, by what mechanisms and processes the treatment is beneficial—and for whom—are complex questions. In this piece, we problematize intervention-based research paradigms that do not account for context, individuals and their proactivity, or temporal variation. We highlight several key challenges that remain for ISLA research and propose a more reflexive approach to intervention that attends to these central considerations in implementing study designs.

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Section: A Protocol For Intervening Differentlymentioning

confidence: 99%

Complex adaptive interventions: The challenge ahead for instructed second language acquisition research

Hiver,

Nagle

2024

Ann Rev Appl Linguist

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“…The ADI elements include the decision points, intervention options, and tailoring variables. It will also be necessary to decide the thresholds or levels of the tailoring variables that differentiate between conditions under which different ADI options should be delivered; this includes planning for situations in which information about the tailoring variable is not available in practice (see Murphy & McKay, 2004; Roberts et al, 2021). These decisions can be informed by existing literature and empirical evidence and by consideration of standard clinical practice, expert opinion, or experience.…”

Section: Practical Steps For Planning a Hedmentioning

confidence: 99%

Hybrid Experimental Designs for Intervention Development: What, Why, and How

Nahum‐Shani

Dziak

Walton

et al. 2022

Advances in Methods and Practices in Psychological Science

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Advances in mobile and wireless technologies offer tremendous opportunities for extending the reach and impact of psychological interventions and for adapting interventions to the unique and changing needs of individuals. However, insufficient engagement remains a critical barrier to the effectiveness of digital interventions. Human delivery of interventions (e.g., by clinical staff) can be more engaging but potentially more expensive and burdensome. Hence, the integration of digital and human-delivered components is critical to building effective and scalable psychological interventions. Existing experimental designs can be used to answer questions either about human-delivered components that are typically sequenced and adapted at relatively slow timescales (e.g., monthly) or about digital components that are typically sequenced and adapted at much faster timescales (e.g., daily). However, these methodologies do not accommodate sequencing and adaptation of components at multiple timescales and hence cannot be used to empirically inform the joint sequencing and adaptation of human-delivered and digital components. Here, we introduce the hybrid experimental design (HED)—a new experimental approach that can be used to answer scientific questions about building psychological interventions in which human-delivered and digital components are integrated and adapted at multiple timescales. We describe the key characteristics of HEDs (i.e., what they are), explain their scientific rationale (i.e., why they are needed), and provide guidelines for their design and corresponding data analysis (i.e., how can data arising from HEDs be used to inform effective and scalable psychological interventions).

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